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Evaluating the impact of gate strategies on a container terminal's roadside network using microsimulation
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Dougherty, Patrick Shane. Evaluating the impact of gate strategies on a container terminal's roadside network using microsimulation. Retrieved from https://doi.org/doi:10.7282/T3154GSR

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TitleEvaluating the impact of gate strategies on a container terminal's roadside network using microsimulation
NameDougherty, Patrick Shane (author); Boile, Maria (chair); Ozbay, Kaan (internal member); Najm, Husam (internal member); Golias, Mihalis (outside member); Rutgers University; Graduate School - New Brunswick
Date Created2010
Other Date2010-10 (degree)
SubjectCivil and Environmental Engineering, Containerization--New York, Containerization--New Jersey, Statistical matching
Extentxii, 122 p. : ill., maps
DescriptionIntermodal Marine Container Terminals (IMCTs) are experiencing consistent growth in container volumes and are under pressure to come up with strategies to increase their capacity to accommodate the increasing demand. In addition to the deterioration of the performance of terminal and drayage operations, the environmental effect from idling trucks has been starting to emerge as a serious problem. Different solutions have been proposed to address the issue and reduce the amount of externalities from drayage operations including new technologies, operational strategies and financial mechanisms. The purpose of this thesis is to develop a simulation model capable of modeling a number of different gate strategies, using real world data, and evaluate the possible benefits that different operational improvements may have in reducing congestion in the vicinity of the terminals. For the purpose of the thesis the Port of Newark/Elizabeth in New York and New Jersey was selected to evaluate the roadside impacts of the two most common operational strategies (a gate appointment system and extended gate hours) using dynamic microsimulation. Several demand shifting scenarios were tested for a base year and future years and an extensive sensitivity analysis was performed based on the output of these simulations. Results from the sensitivity analysis were used to determine the percentage of truck demand that would theoretically need to be shifted to off peak weekday or weekend hours in order to maintain an efficient level of service on the roadway network at the Port Newark/Elizabeth for each simulated year.
NoteM.S.
NoteIncludes bibliographical references
Noteby Patrick Shane Dougherty
Genretheses, ETD graduate
Persistent URLhttps://doi.org/doi:10.7282/T3154GSR
Languageeng
CollectionGraduate School - New Brunswick Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.
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